检索结果-内蒙古大学图书馆

data encoding Schemes in Networks on Chip

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2011年第5期30卷 774-786页

作者： Palesi, Maurizio Ascia, Giuseppe Fazzino, Fabrizio Catania, Vincenzo Kore Univ I-94100 Enna Italy Univ Catania Dipartimento Ingn Informat & Telecomun I-95125 Catania Italy Icera Inc Bristol BS32 4AQ Avon England

An ever more significant fraction of the overall power dissipation of a network-on-chip (NoC) based system-on-chip (SoC) is due to the interconnection system. In fact, as technology shrinks, the power contribute of NoC links starts to compete with that of NoC routers. In this paper, we propose the use of data encoding techniques as a viable way to reduce both power dissipation and energy consumption of NoC links. The proposed encoding scheme exploits the wormhole switching techniques and works on an end-to-end basis. That is, flits are encoded by the network interface (NI) before they are injected in the network and are decoded by the destination NI. This makes the scheme transparent to the underlying network since the encoder and decoder logic is integrated in the NI and no modification of the routers architecture is required. We assess the proposed encoding scheme on a set of representative data streams (both synthetic and extracted from real applications) showing that it is possible to reduce the power contribution of both the self-switching activity and the coupling switching activity in inter-routers links. As results, we obtain a reduction in total power dissipation and energy consumption up to 37% and 18%, respectively, without any significant degradation in terms of both performance and silicon area.

关键词： Coupling capacitance data encoding low power network on chip (NoC) power analysis

来源：评论

学校读者我要写书评

暂无评论

What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study 18

What Your DRAM Power Models Are Not Telling You: Lessons fro...

引用

Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems

作者： Saugata Ghose Abdullah Giray Yaglikçi Raghav Gupta Donghyuk Lee Kais Kudrolli William X. Liu Hasan Hassan Kevin K. Chang Niladrish Chatterjee Aditya Agrawal Mike O'Connor Onur Mutlu Carnegie Mellon University Pittsburgh PA USA ETH Zürich & Carnegie Mellon University Zürich Switzerland NVIDIA Austin TX USA ETH Zürich Zürich Switzerland NVIDIA Santa Clara CA USA NVIDIA & University of Texas at Austin Austin TX USA

ISBN: (纸本)9781450358460

Main memory (DRAM) consumes as much as half of the total system power in a computer today, due to the increasing demand for memory capacity and bandwidth. There is a growing need to understand and analyze DRAM power consumption, which can be used to research new DRAM architectures and systems that consume less power. A major obstacle against such research is the lack of detailed and accurate information on the power consumption behavior of modern DRAM devices. Researchers have long relied on DRAM power models that are predominantly based off of a set of standardized current measurements provided by DRAM vendors, called IDD values. Unfortunately, we find that state-of-the-art DRAM power models are often highly inaccurate when compared with the real power consumed by DRAM. This is because existing DRAM power models (1) are based off of the worst-case power consumption of devices, as vendor specifications list the current consumed by the most power-hungry device sold; (2) do not capture variations in DRAM power consumption due to different data value patterns; and (3) do not account for any variation across different devices or within a device.

关键词： dram experimental characterization memory systems power modeling data encoding low-power design energy power consumption

来源：评论

学校读者我要写书评

暂无评论

An Efficient encoding Scheme for Dynamic Multidimensional datasets 7th

An Efficient Encoding Scheme for Dynamic Multidimensional Da...

引用

7th International Conference on Pattern Recognition and Machine Intelligence (PReMI)

作者： Omar, Mehnuma Tabassum Hasan, K. M. Azharul Khulna Univ Engn & Technol Dept Comp Sci & Engn Khulna Bangladesh

ISBN: (纸本)9783319699004;9783319698991

Big data involve composite, undefined volume and unspecified rate of datasets [1]. The index array lags behind the conventional approaches to maintain the data velocity by allowing subjective expansion on the boundary of array dimension. The major concern of large volume applications like "Big data" is to perceive data volume and high velocity for further operations. In this paper we offer a scalable encoding scheme that replaces data block allocation with segment allocation and reorganizes the n dimensions of array into 2 dimensions only. Hence it requires 2 indices for data encoding and offers low indexing cost.

关键词： Array storage Array indexing Big data storage data encoding

来源：评论

学校读者我要写书评

暂无评论

***: Fast JSON data access using JIT-based speculative optimizations

***: Fast JSON data access using JIT-based speculative optim...

引用

Proceedings of the VLDB Endowment

作者： Bonetta, Daniele Brantner, Matthias VM Research Group Oracle Labs United States Oracle Labs United States

JSON is one of the most popular data encoding formats, with wide adoption in databases and Bigdata frameworks as well as native support in popular programming languages such as JavaScript/***, Python, and R. Nevertheless, JSON data processing can easily become a performance bottleneck in data-intensive applications because of parse and serialization overhead. In this paper, we introduce ***, a runtime system for efficient processing of JSON objects in data-intensive applications. *** is based on (1) speculative just-in-time (JIT) compilation and (2) selective access to data. Experiments show that applications using *** achieve speedups up to 2.7x for encoding and 9.9x for decoding JSON data when compared to state-of-the art JSON processing libraries. © 2017 VLDB.

关键词： data handling encoding (symbols) High level languages Just in time production Signal encoding data access data encoding data intensive application Just in time compilation Performance bottlenecks Runtime systems Speculative optimization State of the art

来源：评论

学校读者我要写书评

暂无评论

Transmission and encoding Research on Life Status data in WSN Combined with OVTDM and CS

Transmission and Encoding Research on Life Status Data in WS...

引用

Second International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare

作者： Zhang Fan Zhang Xihong Hefei New Star Inst Appl Technol Hefei Peoples R China Yanching Inst Technol Beijing Peoples R China

ISBN: (纸本)9781479961689

In view of the life status mass data collected, Wireless Sensor Networks(WSN) has a problem of limited sampling rate and low encoding efficiency, etc. Under the Nyquist sampling criterion, traditional data encoding way has reached Shannon limit performance, and spectrum efficiency has little room for improvement. So it becomes very urgent to compress the data and reduce communication expenditure. The authors plan to use the technology of Overlapped Time Division Multiplexing(OVTDM) and Compressive Sensing(CS) jointly to carry out further research on life status data of WSN, which overthrows traditional Nyquist criterion respectively. Under the precondition of source encoding and channel encoding, the research idea is to use CS to reduce the amount of data procession sharply, and to combine OVTDM to improve the encoding efficiency and spectrum efficiency significantly. The specific approach is to build a typical data decoding system model of WSN, and to research bit error rate and signal to noise ratio of data encoding under different fading channel using the different procession methods, which aims at assessing the research effect of data encoding improvement in WSN. The project will not only break through the theory bottleneck of the existing technology, but also has important significance for clarifying the mechanism of transmission and encoding of life status data in WSN, revealing the research law of basic theory, and expanding the engineering application fields of this technology.

关键词： Overlapped Time Division Multiplexing Compressive Sensing Wireless Sensor Networks data encoding Spectrum Efficiency

来源：评论

学校读者我要写书评

暂无评论

On-Chip Communication Energy Reduction Through Reliability Aware Adaptive Voltage Swing Scaling

引用

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2016年第11期35卷 1769-1782页

作者： Mineo, Andrea Palesi, Maurizio Ascia, Giuseppe Pande, Partha Pratim Catania, Vincenzo Univ Catania Dipartimento Ingn Elettr Elettron & Informat I-95125 Catania Italy Kore Univ Enna I-94100 Enna Italy Washington State Univ Pullman WA 99163 USA

In a multi/many-core system, the network-on-chip (NoC)-based communication backbone is responsible for a relevant fraction of the overall energy budget. Reducing the voltage swing for signaling in crossbars and links results in significant energy saving. Unfortunately, as voltage swing reduces, the bit error rate increases, that in turn compromises the communication reliability. Starting from the assumption that not all the communications need same level of reliability, in this paper we propose techniques and architectures for run-time tuning of the voltage swing of the crossbars and interrouter links. The proposed technique is compared with the state of the art in link energy reduction through data encoding under both synthetic and real traffic scenarios. We found that the proposed techniques allow to significantly reduce the energy consumption of the NoC fabric without degrading the performance metrics. Energy savings ranging from 20% to 43% have been observed without any relevant impact on the performance metrics.

关键词： data encoding link power reduction low power network on chip (NoC) power analysis probabilistic CMOS

来源：评论

学校读者我要写书评

暂无评论

Memory Bandwidth Extension through Tri-Level Signaling 14

Memory Bandwidth Extension through Tri-Level Signaling

引用

IEEE Workshop on Microelectronics and Electron Devices (WMED)

作者： Hollis, Timothy M. Microns Adv Architecture Grp Oxford England

ISBN: (纸本)9781467383998

A DDR-compatible signaling scheme is presented to increase memory bandwidth while accommodating the limitations of the DRAM transistor. Key features of the proposal include the addition of a third signal level between VOH and VOL, and an encoding scheme which maps three binary inputs into a pair of tri-level signals for transmission. The mapping of three bits to two pins increases per-pin bandwidth by 50% without increasing the clock frequency, which relaxes the demand on the DRAM transistor and data capture timing while reducing AC power.

关键词： Non-return-to-zero (NRZ) pulse amplitude modulation (PAM) data encoding data bus inversion

来源：评论

学校读者我要写书评

暂无评论

Successful DNA data Structure to Analyze Bioinformatics

Successful DNA Data Structure to Analyze Bioinformatics

引用

International Conference on Big data and Smart Computing (BigComp)

作者： Jung, Yeon Gil Jang, Seongpil Cho, Younghoon Yoon, Taeseon HAFS Nat Sci Yongin South Korea HAFS Fac Comp Yongin South Korea

ISBN: (纸本)9781467387965

Bioinformatics is an interdisciplinary academic field that analyzes biological data using modern techniques. However, there are several drawbacks that can threaten the credibility of analyses using bioinformatics because of the massive quantity of data. So, in this paper, we suggested a new DNA sequence data-compressing method called "Binaling". We effectively compressed DNA sequence data using the chemical similarity between the third base of codons which designates same amino acid. We proved the bit compressibility of data and the integrity of "Binaling" by conducting two experiments using sequence data of viruses. This method has its originality of utilizing biological knowledge, not computer science. "Binaling" can help biologists analyze and research DNA sequence data more efficiently and quickly.

关键词： Bioinformatics data structure data encoding Biological data analysis

来源：评论

学校读者我要写书评

暂无评论

Replication vs erasure coding in data centric storage for wireless sensor networks

引用

COMPUTER NETWORKS 2015年第Feb.11期77卷 42-55页

作者： Albano, Michele Chessa, Stefano Polytech Inst Porto CISTER ISEP INESC TEC P-4200072 Oporto Portugal Univ Pisa Dept Comp Sci I-56127 Pisa Italy

In-network storage of data in wireless sensor networks contributes to reduce the communications inside the network and to favor data aggregation. In this paper, we consider the use of n out of m codes and data dispersal in combination to in-network storage. In particular, we provide an abstract model of in-network storage to show how n out of m codes can be used, and we discuss how this can be achieved in five cases of study. We also define a model aimed at evaluating the probability of correct data encoding and decoding, we exploit this model and simulations to show how, in the cases of study, the parameters of the n out of m codes and the network should be configured in order to achieve correct data coding and decoding with high probability. (C) 2014 Elsevier B.V. All rights reserved.

关键词： data availability data encoding In-network storage Redundant Residue Number Systems Wireless ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Wireless Sensor Network data Description and encoding in Heterogeneous Building Systems

Wireless Sensor Network Data Description and Encoding in Het...

引用

7th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Conway, Chris Barnes, Matthew Univ Edinburgh Sch Informat Ctr Speckled Comp Edinburgh EH8 9AB Midlothian Scotland

ISBN: (纸本)9781457705137

This paper presents initial results and future directions for data description and payload encodings for heterogeneous networks in IP based building intelligence systems. The efficiency of several open standards for sensor data representation are evaluated along with a consideration of the complexity of implementation and suitability for use in development of 6lowPAN based intelligent building systems. A combination of a simplified generic XML schema for data description combined with Google Protobuffer encoding is suggested as the basis for further development of the architecture as this combines simple, platform independent implementation for developers with efficient compression and payload encoding for limited bandwidth 6lowPAN networks.

关键词： Architecture Buildings encoding Google Protobuffer Internet Internet protocol Payloads Protocols Wireless sensor networks XML XML schema building management systems data description data encoding data handling heterogeneous network intelligent building sy

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：